本文整理汇总了Python中bokeh.models.widgets.Button方法的典型用法代码示例。如果您正苦于以下问题:Python widgets.Button方法的具体用法?Python widgets.Button怎么用?Python widgets.Button使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类bokeh.models.widgets
的用法示例。
在下文中一共展示了widgets.Button方法的5个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Button [as 别名]
def __init__(self, doc: Document, push_fnc, bokeh_fac: callable, push_data_fnc:callable, strategy: bt.Strategy, figurepage_idx: int = 0, lookback: int = 20):
self._slider_aspectratio = None
self._push_data_fnc = push_data_fnc
self._push_fnc = push_fnc
self._figurepage_idx = figurepage_idx
self.last_data_index = -1
self._lookback = lookback
self._strategy = strategy
self._current_group = None
self.document = doc
self._bokeh_fac = bokeh_fac
self._bokeh = None
bokeh = self._bokeh_fac() # temporary bokeh object to get tradingdomains and scheme
self._scheme = copy(bokeh.p.scheme) # preserve original scheme as originally provided by the user
tradingdomains = bokeh.list_tradingdomains(strategy)
self._current_group = tradingdomains[0]
self._select_tradingdomain = Select(value=self._current_group, options=tradingdomains)
self._select_tradingdomain.on_change('value', self._on_select_group)
btn_refresh_analyzers = Button(label='Refresh Analyzers', width=100)
btn_refresh_analyzers.on_click(self._on_click_refresh_analyzers)
td_label = Div(text="Trading Domain:", margin=(9, 5, 15, 5))
controls = row(children=[td_label, self._select_tradingdomain, btn_refresh_analyzers])
self.model = column(children=[controls, Tabs(tabs=[])], sizing_mode=self._scheme.plot_sizing_mode)
# append meta tab
meta = Div(text=metadata.get_metadata_div(strategy))
self._panel_metadata = Panel(child=meta, title="Meta")
self._refreshmodel()
示例2: _get_config_panel
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Button [as 别名]
def _get_config_panel(self):
def on_change_checkbox(vals):
for i, f in enumerate(self._bokeh.figurepages[0].figure_envs):
if i > 1:
continue
f.figure.visible = i in vals
self._slider_aspectratio = Slider(value=self._scheme.plotaspectratio, start=0.1, end=10.0, step=0.1)
button = Button(label="Save", button_type="success")
button.on_click(self.on_button_save_config)
r1 = row(children=[Div(text='Aspect Ratio', margin=(15, 10, 0, 10)), self._slider_aspectratio])
return Panel(child=column(children=[r1, button]), title='Config')
示例3: build_widgets_wb
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Button [as 别名]
def build_widgets_wb(stock_list):
# CODE SECTION: setup widgets, widgetbox name = controls_wb
WIDGET_WIDTH = 250
# ========== Select Stocks ============= #
select_stk_1 = Select(width = WIDGET_WIDTH, title='Select Stock 1:', value = stock_list[0], options=stock_list)
select_stk_2 = Select(width = WIDGET_WIDTH, title='Select Stock 2:', value = stock_list[0], options=stock_list)
# ========== Strategy Type ============= #
strategy_list = ['kalman', 'distance', 'cointegration']
select_strategy = Select(width = WIDGET_WIDTH, title='Select Strategy:', value = strategy_list[0], options=strategy_list)
# ========== set start/end date ============= #
# date time variables
MAX_START = date(2014, 1, 1)
MAX_END = date(2018, 12, 30)
DEFAULT_START = date(2016, 5, 1)
DEFAULT_END = date(2016, 12, 31)
STEP = 1
backtest_dates = DateRangeSlider(width = WIDGET_WIDTH,
start=MAX_START, end=MAX_END,
value=(DEFAULT_START, DEFAULT_END),
step=STEP, title="Backtest Date Range:")
start_bt = Button(label="Backtest", button_type="success", width = WIDGET_WIDTH)
# controls = column(select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt)
controls_wb = widgetbox(select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt, width=600)
return controls_wb
示例4: widgets
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Button [as 别名]
def widgets(self):
"""Return name,widget boxes for all parameters (i.e., a property sheet)"""
params = self.parameterized.params().items()
key_fn = lambda x: x[1].precedence if x[1].precedence is not None else self.p.default_precedence
sorted_precedence = sorted(params, key=key_fn)
outputs = [k for k, p in sorted_precedence if isinstance(p, _View)]
filtered = [(k,p) for (k,p) in sorted_precedence
if ((p.precedence is None) or (p.precedence >= self.p.display_threshold))
and k not in outputs]
groups = itertools.groupby(filtered, key=key_fn)
sorted_groups = [sorted(grp) for (k,grp) in groups]
ordered_params = [el[0] for group in sorted_groups for el in group]
# Format name specially
ordered_params.pop(ordered_params.index('name'))
widgets = [Div(text='<b>{0}</b>'.format(self.parameterized.name))]
def format_name(pname):
p = self.parameterized.params(pname)
# omit name for buttons, which already show the name on the button
name = "" if issubclass(type(p),param.Action) else pname
return Div(text=name)
if self.p.show_labels:
widgets += [self.widget(pname) for pname in ordered_params]
else:
widgets += [self.widget(pname) for pname in ordered_params]
if self.p.button and not (self.p.callback is None and self.p.next_n==0):
display_button = Button(label=self.p.button_text)
def click_cb():
# Execute and clear changes since last button press
try:
self.execute(self._changed)
except Exception as e:
self._changed.clear()
raise e
self._changed.clear()
display_button.on_click(click_cb)
widgets.append(display_button)
outputs = [self.widget(pname) for pname in outputs]
return widgets, outputs
示例5: build_widgets_wb
# 需要导入模块: from bokeh.models import widgets [as 别名]
# 或者: from bokeh.models.widgets import Button [as 别名]
def build_widgets_wb(stock_list, metrics):
# CODE SECTION: setup buttons, widgetbox name = controls_wb
WIDGET_WIDTH = 250
# ========== Select Stocks ============= #
select_stk_1 = Select(width = WIDGET_WIDTH, title='Select Stock 1:', value = backtest_params["stk_0"], options=stock_list)
select_stk_2 = Select(width = WIDGET_WIDTH, title='Select Stock 2:', value = backtest_params["stk_1"], options=stock_list)
# ========== Strategy Type ============= #
strategy_list = ['kalman', 'distance', 'cointegration', 'reinforcement learning']
select_strategy = Select(width = WIDGET_WIDTH, title='Select Strategy:', value = backtest_params["strategy_type"], options=strategy_list)
# ========== set start/end date ============= #
# date time variables
MAX_START = datetime.strptime(backtest_params["max_start"], "%Y-%m-%d").date()
MAX_END = datetime.strptime(backtest_params["max_end"], "%Y-%m-%d").date()
DEFAULT_START = datetime.strptime(backtest_params["backtest_start"], "%Y-%m-%d").date()
DEFAULT_END = datetime.strptime(backtest_params["backtest_end"], "%Y-%m-%d").date()
STEP = 1
backtest_dates = DateRangeSlider(width = WIDGET_WIDTH,
start=MAX_START, end=MAX_END,
value=(DEFAULT_START, DEFAULT_END),
step=STEP, title="Backtest Date Range:")
start_bt = Button(label="Backtest", button_type="success", width = WIDGET_WIDTH)
# controls = column(select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt)
controls_wb = widgetbox(select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt, width=300)
# CODE SECTION: setup table, widgetbox name = metrics_wb
master_wb = None
if metrics is not None:
metric_source = ColumnDataSource(metrics)
metric_columns = [
TableColumn(field="Metrics", title="Metrics"),
TableColumn(field="Value", title="Performance"),
]
metric_table = DataTable(source=metric_source, columns=metric_columns, width=300)
master_wb = row(controls_wb, widgetbox(metric_table))
else:
logging.info("creating controls without table")
master_wb = row(controls_wb)
return master_wb, select_stk_1, select_stk_2, select_strategy, backtest_dates, start_bt